Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method for medical image display and analysis, the method comprising: by one or more processors executing program instructions, determining user-defined display parameters for display of an image on a display device, wherein the user-defined display parameters are associated with a user of the computing system, and wherein the image comprises a medical image; selectively displaying, in response to inputs by the user, regions of the image on the display device, wherein the regions of the image are displayed according to the user-defined display parameters and at a first resolution; storing tracking information indicating portions of the image that have been displayed on the display device according to the user-defined display parameters and at the first resolution; displaying a reduced resolution version of the image on the display device, and in response to determining, by the one or more processors and based on at least the stored tracking information and the user-defined display parameters, that a relevant portion of the image has not been displayed, providing a visible and/or audible notification to a user, wherein: the reduced resolution version of the image is displayed at a second resolution that is lower than the first resolution, the reduced resolution version of the image includes visual indications, based on the tracking information, of the portions of the image that have been displayed on the display device according to the user-defined display parameters and at the first resolution, the selectively displayed regions of the image are displayed in a first viewing pane, the reduced resolution version of the image is displayed in a second viewing pane, and the first and second viewing panes are displayed on the display device simultaneously.
Medical image display and analysis systems often require users to review large, high-resolution images, which can be time-consuming and may lead to missed areas of interest. This invention addresses the challenge by providing a computer-implemented method to enhance efficiency and ensure comprehensive review. The system determines user-specific display parameters for medical images, such as zoom levels or contrast settings, and allows selective display of image regions at a high resolution in a primary viewing pane. As the user navigates, the system tracks which portions of the image have been viewed under these parameters. A secondary viewing pane simultaneously displays a lower-resolution version of the entire image, with visual indicators marking the already-reviewed areas. If the system detects, based on tracking data and user preferences, that a relevant portion remains unviewed, it alerts the user with visual or audible notifications. This dual-pane approach ensures thorough examination while optimizing workflow by reducing redundant navigation. The method is particularly useful in radiology or pathology, where missing critical details can have significant clinical consequences.
2. The method of claim 1 , wherein the visible and/or audible notification indicates that at least the relevant portion of the image has not been displayed according to the user-defined display parameters and at the first resolution.
A system and method for monitoring and alerting users when displayed images deviate from predefined display parameters. The technology addresses the problem of ensuring images are displayed according to user-specified settings, such as resolution, color accuracy, or other visual attributes, which may be compromised due to hardware limitations, software errors, or user adjustments. The invention provides a notification mechanism that alerts users when an image is not displayed as intended, particularly focusing on relevant portions of the image that may be critical for accurate viewing. The method involves analyzing the displayed image to determine if it matches the user-defined display parameters, including resolution settings. If discrepancies are detected, the system generates a visible or audible notification to inform the user that the image is not being displayed correctly. This ensures that users are aware of any deviations from the intended display quality, allowing them to take corrective action. The notification may be triggered when the entire image or only a relevant portion fails to meet the specified parameters, ensuring that critical sections of the image are prioritized in the alert process. The system may also compare the displayed image to a reference version to verify compliance with the user-defined settings. This approach enhances user confidence in the accuracy of displayed visual content, particularly in applications where precise image representation is essential, such as medical imaging, design work, or professional photography.
3. The method of claim 2 , wherein the visible and/or audible warning notification further indicates at least a second portion of the image that has been displayed according to the user-defined display parameters and at the first resolution.
This invention relates to a system for displaying images with user-defined parameters and providing warnings when portions of the image are displayed at a first resolution. The problem addressed is ensuring users are aware of how their images are being displayed, particularly when certain portions may not meet desired quality standards. The method involves displaying an image according to user-defined display parameters, such as resolution, aspect ratio, or cropping settings. If a portion of the image is displayed at a first resolution, a visible or audible warning notification is generated. This notification not only alerts the user but also indicates at least a second portion of the image that has been displayed according to the user-defined parameters and at the first resolution. The warning helps users identify which parts of the image may be affected by the display settings, allowing them to adjust parameters as needed to improve quality. The system ensures transparency in image display, preventing unintended degradation of image quality. The warning notification may be visual, such as a highlighted area on the image, or auditory, such as a sound alert. The method enhances user control over image presentation, ensuring they are informed when display settings may compromise image fidelity.
4. The method of claim 1 further comprising: receiving input from the user adding to and/or removing portions of the image determined to be relevant by the computing system.
This invention relates to image processing systems that automatically identify and highlight relevant portions of an image. The technology addresses the challenge of efficiently extracting meaningful content from images, particularly in applications like document analysis, medical imaging, or object recognition, where manual selection of relevant regions is time-consuming and subjective. The system uses computational techniques to analyze an image and determine which portions are relevant based on predefined criteria, such as contrast, texture, or semantic importance. Once identified, these relevant regions are visually distinguished from the rest of the image, often through highlighting or segmentation. The invention enhances this process by allowing user interaction, enabling the user to refine the system's selections by adding or removing portions of the image that the system has identified as relevant. This feedback loop improves accuracy and adaptability, ensuring the final output aligns with the user's intent. The method involves receiving user input to modify the system's initial determination, which may include adding new regions of interest or excluding incorrectly highlighted areas. This interactive approach combines automated analysis with human judgment, making the system more versatile for tasks requiring precise region selection. The invention is particularly useful in applications where both computational efficiency and user control are critical, such as medical diagnostics, document digitization, or augmented reality.
5. The method of claim 1 , wherein the reduced resolution version of the image that is displayed includes the entire reduced resolution version of the image.
This invention relates to image processing, specifically to methods for displaying reduced resolution versions of images while ensuring the entire image is visible. The problem addressed is the need to efficiently display lower-resolution versions of images without cropping or omitting any part of the original image. Traditional methods may reduce resolution but often result in partial visibility or distortion, which can be problematic in applications requiring full context, such as medical imaging, surveillance, or document analysis. The method involves generating a reduced resolution version of an image and displaying it in its entirety, ensuring no portion of the image is excluded. The process includes downsampling the original image to a lower resolution while maintaining the full field of view. This is achieved by applying a reduction algorithm that preserves the complete spatial extent of the original image, avoiding cropping or scaling that would truncate edges or details. The method may also include adjusting display parameters, such as aspect ratio or pixel density, to ensure the reduced resolution version fits within the display area without distortion. The technique is particularly useful in systems where bandwidth or processing power is limited, as it allows for faster rendering of full-frame previews while maintaining visual integrity. The approach can be applied in various imaging applications, including digital cameras, medical imaging devices, and remote monitoring systems, where quick, full-frame previews are essential.
6. The method of claim 1 , wherein the user-defined display parameters are associated with an identity or role of a user, and wherein the user-defined display parameters indicate a percentage of pixels or portions of the image that must be displayed.
This invention relates to a system for dynamically adjusting image display parameters based on user identity or role. The technology addresses the challenge of optimizing image presentation for different users or roles, ensuring that specific portions of an image are prioritized or displayed according to predefined criteria. The method involves associating user-defined display parameters with a user's identity or role, where these parameters specify the percentage of pixels or portions of an image that must be displayed. For example, a user with an "editor" role may require a higher percentage of an image to be visible compared to a "viewer" role, allowing for more detailed inspection. The system dynamically adjusts the display based on these parameters, ensuring that the specified portions of the image are shown while potentially omitting or compressing less critical areas. This approach enhances usability by tailoring image presentation to the needs of different users or roles, improving efficiency and reducing unnecessary data processing. The invention is particularly useful in applications where image clarity and focus are role-dependent, such as medical imaging, design software, or security monitoring systems.
7. The method of claim 1 , wherein the user-defined display parameters indicate one or more of an image window, a level, a brightness, a contrast, an opacity, or a color look-up table.
This invention relates to medical imaging systems, specifically methods for adjusting and displaying medical images based on user-defined parameters. The problem addressed is the need for flexible and customizable image display settings to enhance diagnostic accuracy and user experience in medical imaging. The method involves processing medical images, such as those from X-ray, MRI, or ultrasound scans, and applying user-defined display parameters to modify how the images are presented. These parameters include selecting an image window, adjusting brightness, contrast, opacity, and applying color look-up tables (LUTs) to enhance specific features. The system allows users, such as radiologists or technicians, to tailor the display settings to their preferences or the requirements of a particular diagnostic task. For example, adjusting brightness and contrast can improve visibility of subtle structures, while opacity controls are useful in overlaying multiple images. The color LUTs can be customized to highlight specific anatomical or pathological features, aiding in diagnosis. The method ensures that the applied display parameters are stored and can be recalled for future use, maintaining consistency in image interpretation. This customization helps reduce variability in image perception among different users, improving diagnostic reliability. The system may also include validation steps to ensure the applied parameters do not distort critical image information. The invention enhances the usability of medical imaging systems by providing precise control over image presentation while maintaining diagnostic integrity.
8. The method of claim 7 , wherein the user-defined display parameters indicate more than one lung window or more than one bone window.
This invention relates to medical imaging systems, specifically methods for adjusting display parameters in radiology imaging to enhance visualization of different anatomical structures. The problem addressed is the need for radiologists to quickly and accurately view multiple anatomical features, such as lungs and bones, in a single imaging session without manually adjusting display settings for each structure. The method involves a medical imaging system that allows users to define and store multiple display parameter sets for different anatomical windows, such as lung windows and bone windows. These parameter sets include settings like window width and window level, which control the contrast and brightness of the displayed image. The system enables users to select and apply these predefined parameter sets to the same image or different images, allowing rapid switching between optimized views for different tissues. For example, a lung window may emphasize soft tissue contrast, while a bone window may highlight bony structures. The method also supports storing and retrieving these parameter sets for future use, improving workflow efficiency in radiology. The invention ensures that radiologists can efficiently analyze multiple anatomical regions without repeatedly adjusting display settings, reducing interpretation time and improving diagnostic accuracy. The system may be integrated into existing imaging software or hardware, such as CT or MRI scanners, to provide a seamless user experience.
9. The method of claim 1 , wherein the user-defined display parameters indicate one or more image processing functions.
A method for enhancing image display systems involves applying user-defined display parameters to adjust how images are processed and presented. The core technology addresses the problem of static or inflexible image rendering in display systems, which often fails to meet diverse user preferences or adapt to varying environmental conditions. The method allows users to customize image processing functions, such as brightness, contrast, color correction, or noise reduction, to optimize visual output for specific needs. By enabling dynamic adjustments, the system improves image quality and user experience across different applications, including medical imaging, digital signage, and consumer electronics. The user-defined parameters can be applied in real-time or preconfigured for automated adjustments, ensuring flexibility and precision in image rendering. This approach enhances adaptability in display technologies, making them more versatile for professional and consumer use.
10. The method of claim 9 , wherein the one or more image processing functions include one or more of edge enhancement, automated image analysis, or computer-aided detection.
This invention relates to image processing techniques for enhancing and analyzing medical images, particularly in the context of diagnostic imaging. The method addresses the challenge of improving image clarity and accuracy in medical diagnostics by applying specific image processing functions to raw imaging data. These functions include edge enhancement to sharpen boundaries within the image, automated image analysis to detect and quantify features of interest, and computer-aided detection to identify potential abnormalities. The processed images are then displayed or stored for further review. The method is designed to improve the reliability and efficiency of medical image interpretation, reducing the likelihood of misdiagnosis due to poor image quality or human error. By integrating these functions, the system enhances the diagnostic capabilities of medical professionals, particularly in fields such as radiology, where precise image analysis is critical. The invention aims to streamline workflows and improve patient outcomes by leveraging advanced image processing techniques.
11. The method of claim 1 , wherein the user-defined display parameters vary depending on one or more of a type of image, an area imaged, a clinical indication, a source of the image, a display device, and/or a user.
This invention relates to medical imaging systems that dynamically adjust display parameters based on contextual factors. The core problem addressed is the need for optimized image visualization in medical diagnostics, where static display settings may not suit varying clinical needs, image types, or user preferences. The system automatically adapts display parameters such as brightness, contrast, color mapping, and zoom levels in real-time. These adjustments are based on factors including the type of medical image (e.g., X-ray, MRI, ultrasound), the specific anatomical area being imaged, clinical indications (e.g., tumor detection, fracture analysis), the imaging device used, the display hardware characteristics, and user-specific preferences. The method ensures that images are presented in the most diagnostically useful manner without manual intervention, improving efficiency and accuracy in medical assessments. The system may also learn from user adjustments to refine future display settings, creating a personalized and adaptive viewing experience. This approach reduces variability in image interpretation and enhances diagnostic consistency across different users and devices.
12. The method of claim 1 , wherein the regions of the image and the reduced resolution version of the image are displayed on the display device simultaneously.
This invention relates to image processing and display systems, specifically addressing the challenge of efficiently presenting high-resolution images while maintaining computational efficiency and user experience. The method involves generating a reduced resolution version of an original image, where the reduced resolution version is derived by downsampling or compressing the original image to a lower resolution while preserving key visual features. The method then identifies and extracts specific regions of interest from the original high-resolution image, which may include areas with high detail, text, or other significant content. These extracted regions are then displayed alongside the reduced resolution version of the image on the same display device. This simultaneous display allows users to view a broad overview of the image at a lower resolution while also examining detailed regions in their original resolution, improving both efficiency and usability. The method ensures that the regions of interest are seamlessly integrated with the reduced resolution version, providing a cohesive and informative visual presentation. This approach is particularly useful in applications such as medical imaging, remote sensing, and digital photography, where both high-level context and detailed inspection are required.
13. The method of claim 1 , further comprising: automatically analyzing, by the one or more processors, the image to determine portions of the image that are irrelevant for display according to the user-defined display parameters and at the first resolution.
This invention relates to image processing systems that optimize image display based on user-defined parameters and resolution constraints. The method involves analyzing an image to identify and exclude irrelevant portions that do not meet specified display criteria, such as resolution or user preferences. The system uses one or more processors to automatically determine which parts of the image should be excluded from display, ensuring that only relevant content is shown at the desired resolution. This approach enhances efficiency by reducing unnecessary data processing and storage, while maintaining visual quality for the user. The method is particularly useful in applications where bandwidth, memory, or processing power is limited, such as mobile devices, remote rendering systems, or real-time image transmission. By dynamically filtering out irrelevant content, the system ensures that only the most important visual information is displayed, improving performance and user experience. The invention may also include additional steps such as preprocessing the image, adjusting display parameters, or dynamically updating the analysis based on changing conditions. The overall goal is to provide a more efficient and adaptive image display solution tailored to specific user needs and technical constraints.
14. A system configured for medical image display and analysis, the system comprising: one or more hardware processors; and a non-transitory computer readable medium operatively coupled to the one or more hardware processors and storing executable instructions configured for execution by the one or more processors in order to: determine a characteristic associated with an image to display, wherein the image comprises a medical image; determine required display parameters for display of the image, wherein the required display parameters are associated with the determined characteristic, and wherein the required display parameters indicate a first resolution at which the image is to be displayed; store tracking information indicating portions of the image that have been displayed on a display device according to the required display parameters including at the first resolution; causing display of a reduced resolution version of the image on the display device, and in response to determining, based on at least the stored tracking information and the required display parameters, that a relevant portion of the image has not been displayed, provide a notification to a user of the system, wherein: the reduced resolution version of the image is displayed at a second resolution that is lower than the first resolution, the reduced resolution version of the image includes visual indications, based on the tracking information, of the portions of the image that have been displayed on the display device according to the required display parameters including at the first resolution, the portions of the image are displayed in a first viewing pane, the reduced resolution version of the image is displayed in a second viewing pane, and the first and second viewing panes are displayed on the display device simultaneously.
The system is designed for medical image display and analysis, addressing the challenge of efficiently reviewing high-resolution medical images while ensuring critical portions are not overlooked. The system includes hardware processors and a non-transitory computer-readable medium storing executable instructions. The system determines a characteristic of a medical image, such as anatomical features or diagnostic relevance, and identifies required display parameters, including a first resolution for optimal viewing. It tracks which portions of the image have been displayed at the specified resolution and stores this tracking information. The system then displays a reduced-resolution version of the image in a second viewing pane, with visual indicators marking the already-viewed portions. If the system detects, based on the tracking information and display parameters, that a relevant portion has not been displayed, it notifies the user. The original image is displayed in a first viewing pane at full resolution, while the reduced-resolution version provides an overview with visual feedback on coverage. This dual-pane approach ensures comprehensive review while optimizing display efficiency.
15. The system of claim 14 , wherein the executable instructions are further configured for execution by the one or more processors in order to: determine the relevant portion of the image.
A system for image processing and analysis is disclosed, addressing the challenge of efficiently identifying and extracting meaningful portions of images for further analysis or display. The system includes one or more processors and memory storing executable instructions that, when executed, perform various functions. These functions include capturing or receiving an image, processing the image to identify relevant portions, and optionally displaying or transmitting the processed image data. The system may also include input devices for user interaction, such as selecting or adjusting the identified portions. The executable instructions are further configured to determine the relevant portion of the image, which may involve analyzing pixel data, detecting edges, recognizing patterns, or applying machine learning models to identify regions of interest. The system may also support real-time processing, allowing for dynamic updates as new image data is received. The technology is applicable in fields such as medical imaging, surveillance, autonomous vehicles, and augmented reality, where identifying specific image regions is critical for accurate analysis or decision-making. The system improves upon prior art by automating the identification of relevant image portions, reducing manual effort and increasing processing efficiency.
16. The system of claim 15 , wherein the relevant portion of the image includes all of the image.
Technical Summary: This invention relates to image processing systems designed to analyze and extract relevant portions of images for further processing or display. The system addresses the challenge of efficiently identifying and handling specific areas of interest within an image, particularly when the entire image may contain relevant information. The system includes an image input module that receives an image for processing, an analysis module that determines the relevant portion of the image, and an output module that processes or displays the identified portion. The analysis module may use various techniques, such as object detection, segmentation, or user-defined criteria, to identify the relevant portion. In some implementations, the system is configured to analyze the entire image when the relevant portion encompasses all of the image, ensuring no critical information is excluded. The output module may then apply enhancements, compressions, or other transformations to the entire image based on the analysis. This approach ensures flexibility in handling different types of images, from those with localized regions of interest to those where the entire content is significant. The system may be integrated into applications such as medical imaging, surveillance, or document processing, where accurate identification of relevant image portions is crucial.
17. The system of claim 15 , wherein the relevant portion excludes areas of the image that represent air.
This invention relates to image processing systems for analyzing medical images, particularly for identifying and excluding irrelevant regions in medical imaging data. The system processes a medical image to identify and exclude areas representing air, such as those in lung imaging, to enhance the accuracy of subsequent diagnostic or analytical steps. The system includes an image acquisition module that captures or receives medical images, such as CT scans or X-rays, and an image processing module that analyzes the image to detect and exclude air-filled regions. The exclusion of air regions improves the focus on clinically relevant anatomical structures, reducing noise and false positives in diagnostic assessments. The system may also include a segmentation module to isolate specific anatomical features and a display module to present the processed image with the air regions removed. The exclusion process involves identifying pixel or voxel intensity values characteristic of air and masking or removing those regions from further analysis. This approach enhances the precision of diagnostic algorithms, particularly in pulmonary imaging, by ensuring that non-relevant air spaces do not interfere with the detection of pathological conditions. The system may be integrated into radiology workflows to streamline image interpretation and improve diagnostic accuracy.
18. The system of claim 14 , wherein the required display parameters further indicate one or more image processing functions, and wherein the one or more image processing functions include one or more of edge enhancement, automated image analysis, or computer-aided detection.
This invention relates to a system for medical imaging that dynamically adjusts display parameters to enhance diagnostic accuracy. The system addresses the challenge of optimizing image quality for different diagnostic tasks, such as detecting subtle abnormalities or improving visibility of anatomical structures. The system includes a display device configured to present medical images, such as X-rays, MRIs, or CT scans, and a processing unit that processes these images based on predefined or user-selected display parameters. These parameters control aspects like brightness, contrast, and spatial resolution to tailor the image for specific diagnostic needs. The system further includes a user interface that allows healthcare professionals to select or modify display parameters, ensuring the images are optimized for their intended use. Additionally, the system can automatically adjust these parameters based on the type of medical image or the diagnostic task at hand. For example, the system may enhance edges to improve the visibility of boundaries between tissues or apply automated image analysis to highlight potential areas of concern. Computer-aided detection (CAD) functions may also be integrated to assist in identifying anomalies, such as tumors or fractures, by analyzing the image data and flagging suspicious regions. The system ensures that medical images are presented in a way that maximizes diagnostic utility, reducing the likelihood of missed diagnoses due to suboptimal image quality. By combining manual and automated adjustments, the system supports both efficiency and accuracy in medical imaging workflows.
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October 8, 2019
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